Treat every executable artefact as part of the supply chain and require provenance, integrity checks, and environment separation before execution. The key decision is not whether the file is temporary, but whether it can influence trusted behaviour without being revalidated.
How runtime artefacts fit into supply chain governance
Runtime artefacts should be governed as trusted inputs, not as disposable by-products. If a package, model, prompt, script, container layer, or plugin can change behaviour at execution time, it belongs under the same provenance and approval discipline as code and dependencies. That means teams need a clear rule for what is allowed to run, where it came from, and whether it was revalidated in the target environment.
The practical boundary is not file type, it is influence. Artefacts that can alter execution, tool use, or downstream data handling should be treated as supply-chain objects with an ownership trail, version history, and a defined trust level. For agentic systems, that includes tools, skills, memory payloads, and configuration bundles that agents load dynamically.
Runtime governance also has to separate build-time trust from runtime trust. A signed artefact may still be unsafe if it is moved into a different environment, combined with unreviewed inputs, or allowed to execute under broader permissions than intended. That is why provenance alone is necessary but not sufficient: teams should pair it with environment separation, policy checks, and explicit release criteria before execution.
What should be verified before execution?
Teams should verify three things before an artefact is allowed to influence trusted behaviour: origin, integrity, and context. Origin answers who produced it and through which controlled path. Integrity answers whether the artefact is unchanged since approval. Context answers whether it is being executed in the same environment, role, and permission boundary that was assumed during review.
This verification needs to be runtime-aware. An artefact that passed in test may fail in production if it now has access to secrets, APIs, customer data, or agent tools. The control point should therefore sit at the moment of activation, not only at publish time. In agent environments, that means validating artefacts again when they are attached to an agent, loaded as a tool, or referenced by a workflow step.
Environment separation matters because it limits blast radius. A malicious or corrupted artefact is far more dangerous when dev, staging, and production share the same credentials, caches, registries, or execution paths. Teams should make it obvious when a runtime artefact crosses environments, and they should require explicit reapproval when trust assumptions change.
How supply chains and agents change the governance problem
Agents widen the scope of runtime governance because they can consume artefacts autonomously and combine them in ways humans do not inspect line by line. That creates a stronger need for bounded trust, allowlisted sources, and least privilege around tool invocation. In practice, the artefact is no longer just code to be executed, it is also a decision input that may steer future actions.
Supply-chain attacks against packages, extensions, and agent tools show why this matters. A compromised artefact can deliver malicious logic, exfiltrate credentials, or modify output while appearing to come from a legitimate release path. Runtime artefact controls should therefore cover both the content itself and the permissions attached to the place where it runs.
Where agent toolchains are involved, governance should also cover dependency depth. If an agent loads a plugin that loads another package that can reach secrets or external APIs, the trusted boundary has already expanded. Teams need to know which artefacts are directly executable, which are indirectly influential, and which are merely observational.
Risk and Threat Considerations
Runtime artefacts are attractive to attackers because they sit at the point where trust turns into action. A benign-looking package, model file, workflow template, or agent tool can become a persistence mechanism, a credential theft path, or a way to inject behaviour into otherwise controlled systems.
Failure mechanism: Weak provenance checks, reused artefacts across environments, or overbroad runtime permissions let an attacker swap, poison, or repurpose an artefact after approval. Once execution is trusted automatically, the artefact can influence behaviour without a fresh integrity or context check.
Impact: The result can be unauthorized code execution, secret exposure, corrupted outputs, lateral movement through connected systems, or unsafe agent actions that propagate quickly across environments and tenants.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and OWASP Agentic AI Top 10 address the attack and risk surface, while SLSA and NIST SP 800-53 Rev 5 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| SLSA | Supply-chain Levels for Software Artifacts | Runtime artefacts need provenance and integrity verification before execution. |
| Recommendation — Adopt provenance and integrity gates for artefacts before promotion into runtime. | ||
| OWASP Non-Human Identity Top 10 | NHI-02 — Secret Leakage | Runtime artefacts in agents and supply chains often expose credentials or tokens when trusted too broadly. |
| Recommendation — Prevent artefacts from exposing secrets at runtime and rotate any leaked credentials. | ||
| OWASP Agentic AI Top 10 | ASI03 — Identity & Privilege Abuse | Agent-loaded artefacts can expand authority and execution rights if not bounded at runtime. |
| Recommendation — Constrain agent artefacts so they cannot escalate identity or privilege at activation. | ||
| NIST SP 800-53 Rev 5 | SI-7 — Software, Firmware, and Information Integrity | Integrity checks are central when artefacts must be trusted before execution. |
| CM-5 — Access Restrictions for Change | Governing runtime artefacts requires restricting who and what can alter trusted behaviour. | |
| Recommendation — Verify artefact integrity before execution and block unvalidated changes. Restrict runtime change paths so only approved artefacts can affect execution. | ||
Practitioner Guidance
What to prioritise: Put runtime admission control in front of execution, not just source control around publishing. If an artefact can change behaviour, it needs a decision point that can block it when provenance, checksum, environment, or permission assumptions do not match.
What good looks like: The same artefact is traceable from source to build to runtime, but it is only allowed to execute when the target environment has been explicitly validated and the assigned privileges are still appropriate. That is the practical difference between tracking artefacts and governing them.
Common mistake: Treating “temporary” artefacts, agent tools, and one-off scripts as outside supply-chain controls. Temporary is not a trust category, and agentic execution makes short-lived artefacts especially dangerous when they are allowed to influence state, data, or credentials.
Practitioner takeaway: Govern runtime artefacts by the trust they can exert at execution time, not by where they were stored or how briefly they exist.
Related resources from NHI Mgmt Group
- How should security teams govern AI agents that can take runtime response actions?
- How should security teams govern machine identities in software supply chains?
- How should security teams govern AI agents that can choose tools at runtime?
- How should security teams govern AI agents that choose tools at runtime?